of AI Research
of AI Research
The Tsetlin machine research team works on the algorithms, theory, and hardware/software platforms of Tsetlin machines. Our focus is on logical and causal world modeling across multiple modalities, such as images, sound, and natural language. This focus involves logical auto-encoding, convolution, regression, transformer, and reinforcement learning. Our overarching aim is to create ultra-low-power artificial general intelligence solely through transparent logical learning and reasoning.
In the Applied AI Innovations Group, our mission is to harness the transformative power of artificial intelligence to create real-world impact. We lead the charge by customizing AI approaches to meet each sector’s requirements and obstacles, and we do so by developing state-of-the-art machine learning models, from complex neural networks to transparent models that provide explicit interpretability. These innovations are utilized in a wide array of research fields, encompassing but not limited to improving practices in agriculture and aquaculture, augmenting cultural creations, enhancing educational techniques, bettering health care results, streamlining industrial operations, deciphering human languages, and refining recommendation engines for heightened accuracy and pertinence. The AAII group is more than just an active participant in applied AI. We are a driving force in the ongoing development of intelligent systems that address the dynamic demands of our world.
The AI in Remote Sensing (AIRS) research group, hosted under the CAIR, is committed to pushing the boundaries of AI integration with remote sensing technologies. Our goal is to leverage the potential of AI to elevate the analysis, interpretation, and utilization of data acquired from remote sensing platforms across diverse applications.